Sleep quality and heart rate variability in adolescents with type 1 or type 2 diabetes.

INTRODUCTION: Decreased sleep quality and lower heart rate variability (HRV) have both independently been associated with diabetes and may contribute to risks for cardiovascular disease. Although poor sleep quality has been associated with lower HRV in adults with type 2 diabetes (T2D), studies of sleep quality in adolescents with (T2D) or studies examining the possible association of poor sleep quality with lower HRV in adolescents with T2D or T1D are not available. AIM: Thus, we conducted a secondary analysis of data from an existing study to determine if there were associations between sleep quality and HRV in adolescents with T1D or T2D. METHODS: Adolescents with T1D (n = 101) or T2D (n = 37) completed 24-h HRV Holter monitoring and analysis and a self-reported global measure of sleep quality. RESULTS: Poor sleep quality was significantly associated with lower HRV, a known predictor for CV risk. Those with T2D had lower measures of HRV. CONCLUSIONS: The evaluation of sleep quality and early signs of cardiovascular autonomic changes should be considered in routine assessments of adolescents with diabetes. Future research is warranted to examine more robust measures of sleep and HRV in adolescents with diabetes.

Preconception Care to Reduce the Risks of Overweight and Obesity in Women of Reproductive Age: An Integrative Review.

Despite adverse pregnancy outcomes for women with overweight or obesity, preconception guidelines for achieving optimal wellness for women contemplating pregnancy regarding the risks of overweight or obesity are varied based upon national affiliation. The aim of this study was to synthesize the best evidence related to preconception counseling and care focused on overweight or obesity provided to women of reproductive age. An integrative review of original studies was conducted. PubMed, Cumulative Index in Nursing and Allied Health Literature, Ovid, Scopus, Web of Science, and Embase were included. Full-text, data-based articles were searched from 2009 to 2018, with reviews and synthesis completed in 2019 and 2020. Of 8703 initial articles, 31 articles remained in the review. Quality assessment and level of evidence were evaluated based upon criteria from the Joanna Briggs Institute and the Johns Hopkins Nursing Evidence-Based Practice Quality Guide. The level of evidence for the majority of studies was non-experimental but they were of good quality with appropriate methods, samples and relevant results. Limited attention and interest in preconception counseling regarding risks of overweight or obesity by health care professionals were noted, which may contribute to women's unawareness of these risks on preconception health.

Working at home and elsewhere: daily work location, telework, and travel among United States knowledge workers.

The mediation of work practices by information and communication technologies enables knowledge workers to telework from remote non-office locations such as their homes, or to work nomadically from multiple locations in a day. This paper uses data from the American Time Use Survey to explore the relationship between daily work locations and travel in the United States from 2003 to 2017. Outcome variables include travel duration and travel during peak periods. Home is by far the most common non-office work location, but working from other people's homes, cafés/libraries, vehicles, and combinations of multiple locations are also measured. Findings show that working from home only on a day (full-day telework) decreases daily travel duration and increases the likelihood of avoiding peak hour travel for both work and non-work related travel. However, for homeworkers who also conduct work from their workplace on the same day (part-day telework), there is no reduction in daily travel time, and avoiding peak hour travel is limited to work-related travel. Working from other locations such as cafés/libraries or vehicles increases the likelihood of not traveling at peak hours. Findings also indicate that morning peak periods are more affected by work location decisions than evening peak periods. A survival analysis of daily departure times for both full-day and part-day homeworkers provides insight into this mechanism. We conclude on the basis of these findings that demand management policies and peak avoidance incentives would be more effective if they encourage both temporal and spatial flexibility for employees when partnering with regional employers.

Spatial associations of dockless shared e-scooter usage.

In this study, we explore the usage of e-scooter sharing services in Austin, Texas over about a six-month period. The study is based on trip records of all the shared e-scooter operators in Austin and includes trip start and end locations. We use both analysis of trip patterns and spatial regression techniques to examine how the built environment, land use, and demographics affect e-scooter trip generation. Our findings show that people use e-scooters almost exclusively in central Austin. Commuting does not seem to be the main trip purpose, and usage of e-scooters is associated with areas with high employment rates, and in areas with bicycle infrastructure. People use e-scooter sharing regardless of the affluence of the neighborhood, although less affluent areas with high usage rates have large student populations, suggesting that students use this mode of travel. Implications for planners suggest that better bicycle infrastructure will facilitate e-scooter usage, college towns are a ready market for e-scooter sharing services, and e-scooters may be a substitute for some short non-work trips, reducing car usage, and benefiting the environment.